Fall 2013: Final Projects
Final project instructions are here.
Final Project Writeups:
- Amit Das, Transfer learning for cross-lingual automatic speech recognition
- Biplab Deka, Towards a Low Power Hardware Accelerator for Deep Neural Networks
- Igor Fedorov, Data Quantization Optimized for Machine Learning Applications
- Mijail Gomez, Improving Neural Network Learning by Modifying the Output Target Function
- Minje Kim, Block Nonnegative Matrix Factorization for Single Channel Source Separation
- Long Le, Solving POMDP for the Detection of Golden Cheeked Warbler using RBF-based Q-learning
- Ihab Nahlus, The Effects of Quantization On Support Vector Machines Using Polynomial Kernel
- Zach Stephens, Second Order Descent Methods for Estimating Branch Lengths in Phylogenetic Trees
- Johannes Traa, Neural Network-Based Nonlinear Regression on a Torus
- Huiguang Yang, Combination of Key Point and Region-Based Recognition for Unsupervised Learning of Common Object in Multiple Images
- Man Ki Yoon, Malicious Code Execution Detection Using Bottleneck Stacked Autoencoder
- Sai Zhang, Robust Machine Learning Hardware via Classifier Ensemble
- Yang Zhang, Glottal Estimation Using a Nonlinear ARMA Filter